At a Glance
- Tasks: Lead data science projects, develop AI solutions, and coach fellow data scientists.
- Company: Capco is a global consultancy focused on transforming the financial services sector.
- Benefits: Enjoy competitive family-friendly benefits and ongoing learning opportunities.
- Why this job: Work on impactful projects with major banks in a diverse and innovative culture.
- Qualifications: Requires a higher degree in a numerate discipline and experience in data science.
- Other info: Join a flat structure that promotes collaboration with senior partners and clients.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Scientist
Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require.
ABOUT US
Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees.
We are/have:
- Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains.
- Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc.
- Committed to growing our business and hiring the best talent to help us get there.
- Focused on maintaining our nimble, agile and entrepreneurial culture.
What we’re looking for:
As part of our on-going global expansion strategy, we are currently hiring Senior Data Scientists as Capco continues to grow its UK Data Practice in our London office.
The Senior Data Scientist should be experienced in using statistical, algorithmic, mining and/or visualisation techniques to address complex business problems. You will be an SME on data science / ML solutions and use case development.
The successful candidate will advise the Data Scientists and Engineers on technical requirements around the model design, model architecture, model calibration, solution design, and solutions output. In addition to this, they will be expected to leverage their expertise to train and grow Data Scientists at a range of experience levels.
Responsibilities
- Develop prototype and proof of concept solutions making use of cutting-edge AI, machine learning and statistical approaches to solve real-world and business problems.
- Technically lead multiple pods of data science & engineers to develop solutions from a business problem into POCs, MVPs, or fully-fledged solutions while collaborating closely with domain experts.
- Help transition from development environment to production.
- Act as a subject matter expert in data science and machine learning and coach other data scientists.
Essential skills
Analytics, modelling or software development experience including coding/software development skills. In particular:
- Hands-on experience in building and implementing data science and machine learning solutions to tackle business problems.
- Comfort with rapid prototyping and disciplined software development processes.
- Experience with Python, ML libraries (e.g. spaCy, NumPy, SciPy, Transformers, etc.), data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras).
- Demonstrated ability to work on multi-disciplinary teams with diverse skillsets.
- Deploying machine learning models and systems to production (DevOps, MLOps, CI/CD).
- Experience of working in cloud environments (Azure, GCP, AWS).
You are also expected to have:
- Higher level degree (MsC/PhD) in a numerate discipline.
- Excellent leadership skills.
- Able to articulate complex data science concepts to both technical and non-technical audiences.
- Banking and/or Financial Services experience.
Bonus points:
- Entries into Kaggle Competitions.
- Creativity, resourcefulness and a collaborative spirit.
Data at Capco
Capco’s global Data Practice of 800+ practitioners are an established team of data strategists, analysts, scientists, architects, and engineers who help client teams harness the power of data to drive insight, optimise performance, and commercialise data opportunities. We enable financial institutions to become data-driven by helping transform their understanding, and use of data to derive value. We translate strategy into action – designing, implementing, and mobilising innovative data capabilities with a focus on efficiency and scalability, and partnering with leading vendors and industry bodies.
Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture through working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow the capability, and deliver customer focused outcomes.
WHY JOIN CAPCO?
You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.
We offer:
- A work culture focused on innovation and creating lasting value for our clients and employees.
- Ongoing learning opportunities to help you acquire new skills or deepen existing expertise.
- A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients.
- A diverse, inclusive, meritocratic culture.
- Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
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Senior Data Scientist employer: Capco
Contact Detail:
Capco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Make sure to showcase your hands-on experience with machine learning and data science solutions. Highlight specific projects where you've successfully tackled complex business problems using Python and relevant ML libraries.
✨Tip Number 2
Demonstrate your leadership skills by discussing any experience you have in leading teams or mentoring other data scientists. Capco values collaboration, so showing that you can work well in multi-disciplinary teams is crucial.
✨Tip Number 3
Familiarize yourself with the financial services sector and be prepared to discuss how your data science expertise can drive insights and optimize performance in this industry. Understanding the domain will set you apart.
✨Tip Number 4
If you have participated in Kaggle competitions or similar platforms, make sure to mention this experience. It shows your creativity and resourcefulness in applying data science techniques to real-world challenges.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Scientist position at Capco. Familiarize yourself with the specific skills mentioned in the job description, such as experience with Python, machine learning libraries, and cloud environments.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job description. Emphasize your hands-on experience in building data science solutions, leadership abilities, and any experience in the financial services sector.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of Capco's mission. Mention specific projects or experiences that demonstrate your ability to solve complex business problems using data science techniques.
Showcase Your Projects: If you have participated in Kaggle competitions or have personal projects related to data science, include them in your application. This will help demonstrate your creativity, resourcefulness, and practical experience in the field.
How to prepare for a job interview at Capco
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Python and various ML libraries. Highlight specific projects where you implemented data science solutions, focusing on the techniques you used and the impact they had on the business.
✨Demonstrate Leadership Skills
Since the role requires leading multiple pods of data scientists and engineers, share examples of how you've successfully led teams in the past. Discuss your approach to mentoring others and how you foster collaboration within diverse teams.
✨Communicate Complex Concepts Clearly
Practice explaining complex data science concepts in simple terms. You may encounter both technical and non-technical audiences during the interview, so being able to articulate your ideas clearly is crucial.
✨Prepare for Real-World Problem Solving
Expect to engage in discussions about real-world business problems. Be ready to outline how you would approach developing prototypes or proof of concept solutions using AI and machine learning techniques.